Xpander raises $7.5 million Seed to close the gap between AI pilots and enterprise deployment
The startup founded by former AWS engineers is building infrastructure designed to let companies deploy AI agents across different models, clouds and workflows.
Xpander, a startup developing infrastructure for enterprise AI agents, has raised $7.5 million in a Seed round led by Pico Venture Partners, with participation from Emerge Ventures, Samsung Next and SeedIL.
Founded in 2024 by former AWS engineers David Twizer, Moriel Pahima and Ran Sheinberg, Xpander is targeting one of the more persistent problems in corporate AI adoption. While companies are increasingly experimenting with AI, relatively few have managed to integrate it deeply into their operations.
Xpander's platform is designed to allow companies to build, deploy and manage AI agents across different AI models, cloud providers and development frameworks without having to restructure their existing infrastructure.
The company is also introducing Omni, an enterprise AI agent that it describes as an agentic Forward Deployed Engineer. Omni scored 90.9% on the GAIA benchmark, according to Xpander.
The funding comes as companies move beyond the initial wave of generative AI experimentation and confront the more difficult question of how to incorporate AI into their day-to-day operations.
According to McKinsey data cited by Xpander, 88% of organizations now use AI in at least one business function, but only about 1% describe their deployments as mature. Roughly two-thirds remain stuck in pilot projects.
That gap is the market Xpander is attempting to address.
Rather than requiring companies to adopt a particular AI model or cloud environment, the company's platform is designed to operate across them. At its core is what Xpander calls a universal agent harness, a model-, framework- and cloud-agnostic runtime that runs AI agents as portable workloads inside a customer's own environment.
The same infrastructure is intended to provide companies with centralized control over their AI agents, including visibility and lifecycle management. The goal is to allow organizations to deploy custom AI applications across products, workflows and data without giving up security and governance controls.
The company sees this as an alternative to the increasingly fragmented enterprise AI market, where organizations often add individual AI tools to existing workflows rather than redesigning those workflows around AI.
Twizer, Xpander's CEO and co-founder, previously worked at AWS helping large enterprises undertake complex cloud migrations. He said that experience influenced the company's decision to focus on the infrastructure required to move businesses toward AI-native operations.
The startup says its customers include global companies in retail, manufacturing, financial services, technology and government, although it did not disclose the names of those customers or financial details about the business.
